Query Failure Explanation in Inconsistent Knowledge Bases: A Dialogical Approach

Abdallah Arioua 1 Nouredine Tamani 2 Madalina Croitoru 2 Patrice Buche 2, 1
2 GRAPHIK - Graphs for Inferences on Knowledge
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier, CRISAM - Inria Sophia Antipolis - Méditerranée
Abstract : In the EcoBioCap project (www.ecobiocap.eu) about the next generation of packaging, a decision support system has been built that uses argumentation to deal with stakeholder preferences. However, when testing the tool the domain experts did not always understand the output of the system. The approach developed in this paper is the first step to the construction of a decision support system endowed with an explanation module. We place ourselves in the equivalent setting of inconsistent Ontology-Based Data Access (OBDA) and addresses the problem of explaining Boolean Conjunctive Query (BCQ) failure. Our proposal relies on an interactive and argumentative approach where the processes of explanation takes the form of a dialogue between the User and the Reasoner. We exploit the equivalence between argumentation and inconsistency tolerant semantics to prove that the Reasoner can always provide an answer for user’s questions.
Type de document :
Communication dans un congrès
AI: Artificial Intelligence, Dec 2014, Cambridge, United Kingdom. 34th SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, Incorporating Applications and Innovations in Intelligent Systems XXII, pp.119-133, 2014, Research and Development in Intelligent Systems XXXI. 〈10.1007/978-3-319-12069-0_8〉
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https://hal-lirmm.ccsd.cnrs.fr/lirmm-01091082
Contributeur : Abdallah Arioua <>
Soumis le : jeudi 4 décembre 2014 - 15:48:02
Dernière modification le : jeudi 28 juin 2018 - 11:06:59

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Abdallah Arioua, Nouredine Tamani, Madalina Croitoru, Patrice Buche. Query Failure Explanation in Inconsistent Knowledge Bases: A Dialogical Approach. AI: Artificial Intelligence, Dec 2014, Cambridge, United Kingdom. 34th SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, Incorporating Applications and Innovations in Intelligent Systems XXII, pp.119-133, 2014, Research and Development in Intelligent Systems XXXI. 〈10.1007/978-3-319-12069-0_8〉. 〈lirmm-01091082〉

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